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藴域科技團隊,主要分為系統整合,施工安裝以及規劃設計三大團隊,由規劃設計團隊與業主對接了解需求,為客戶策劃出人性化且符合業主生活習慣的智能設備規劃,再對接系統整合團隊,將設備運用軟體串接為客戶設計最完整的系統以及介面,最後再交由施工團隊把系統設備安裝到場域內,致力為業主打造出便捷,高品質,高效能的智能居家生活。


規劃丈量

蘊域規劃設計團隊的職責如下:

1.  

蘊域科技的智能系統規劃師理解客戶的需求和生活習慣,專為客戶量身打造最貼切的智能居家系統。

2.  

制定智能設備方案以符合客戶需求。這包括進行場地測量、佈線規劃、燈光設計、環境控制和安防管理等各項細節,確保每一個方案都能完整的符合業主的期望。

3.  

蘊域規劃師負責規劃智能系統設備的佈局和整體結構,確保系統各部分協調運作,實現其最佳性能。

4.  

在驗收階段,我們的規劃師將逐一檢查每項設備的運作狀況,確保一切正常運作。如此,在交付給客戶前,我們能夠提供最完整的智能居家體驗。


產品整合

產品系統整合團隊的職責如下:

1.  

我們擁有多種智能品牌的經銷代理權,這使我們能夠整合不同品牌的設備,並將各大品牌的家電控制納入我們的系統,為客戶提供最適合的產品組合方案。

2.  

我們密切與規劃設計團隊協作,以深入了解他們的設計方案。

3.  

我們負責軟體開發,以實現各種智能設備之間的互通性,從而建立完整的智能居家系統。

4.  

我們設計使用者界面,以讓客戶輕鬆控制智能設備。


系統安裝

施工安裝團隊的職責如下:

1.  

蘊域科技擁有專業工程師團隊,接收產品系統整合團隊提供的方案,並與施工團隊密切協調,以滿足規劃和客戶的需求,以及確保在水電階段做好線路預留工作。

2.  

施工安裝團隊負責於第二次水電施工階段進行設備和系統的建置,同時進行檢查和驗收,以確保所有設備都被正確安裝且能夠正常運作。如此,當客戶入住時,可以享受到最完美的智能居家體驗。

Reimagining Sight: Perception Beyond Frames with Event-Based Vision

An Event-based Vision Sensor, often referred to as an event camera or neuromorphic camera, is a specialized type of image sensor designed to mimic the behavior of the human retina and provide a fundamentally different way of capturing visual information compared to traditional cameras. Diverging from the fixed-rate frame capture mechanism of traditional cameras, EVS operates based on the concept of "event-driven" data capture. Instead of capturing entire frames of images, EVS only responds to significant changes in the scene, such as alterations in luminosity or motion patterns, effectively reducing power consumption, extending runtime, and data processing load. The remarkable frame rate of EVS empowers it to adeptly capture swift motion and fast-changing scenes with superior efficacy when compared to conventional cameras. Demonstrating exceptional capability, EVS excels in capturing events occurring within mere microseconds.

Event-Based Vision Sensor: Where Vision Meets Versatility

Detection & tracking

Event-based vision sensors excel in human body detection and object tracking by capturing dynamic scene changes and meticulously analyzing the spatial and temporal patterns of these alterations to discern the presence and movements of individuals. Their attributes, including energy efficiency, low latency, and adaptivity to different lighting conditions, render them exceptionally well-suited for a range of applications, including security, robotics, and human-computer interaction.

Anomaly detection in industrial automation

Event-based vision sensors play a pivotal role in industrial automation by swiftly detecting dynamic scene changes, enabling proactive responses to prevent or mitigate issues. These sensors enhance early and efficient anomaly detection while conserving energy and data resources, thereby contributing to heightened productivity, quality control, and safety across manufacturing and industrial processes. Furthermore, their integration with AI/ML algorithms elevates anomaly detection accuracy, allowing seamless adaption to diverse industrial environments over time.

Mobile

The fusion of “images” and “events” introduces the swiftness, efficiency, and excellence of neuromorphic-enabled vision into mobile devices. This advancement significantly augments the existing camera functionalities, particularly in the context of capturing high-speed dynamic scenarios (e.g., sports events) and in challenging low-light environments, courtesy of its pioneering approach in event-based continuous and asynchronous pixel sensing approach.

Automotive

VoxelFlow™ is co-developed by Terranet AB and Mercedes-Benz, equipped with Prophesee Metavision® event-based vision sensors. It enhances the existing radar, LiDAR, and visual systems in accident-prone areas within a range of 30 to 40 meters, enabling fast and accurate understanding and prediction of road conditions for autonomous driving (AD) and advanced driver-assistance systems (ADAS)

AR/VR

Event-based vision sensors exhibit an exceptionally high sampling rate (theoretical values of up to 10 kHz), an expansive dynamic range, low power consumption, and minimal data volume. These attributes render them highly valuable within the realm of virtual reality (VR), encompassing applications such as 3D SLAM, gesture control, and eye tracking, among others.